Hoffer, Elad

13 publications

ICLR 2023 Accurate Neural Training with 4-Bit Matrix Multiplications at Standard Formats Brian Chmiel, Ron Banner, Elad Hoffer, Hilla Ben-Yaacov, Daniel Soudry

NeurIPS 2023 DropCompute: Simple and More Robust Distributed Synchronous Training via Compute Variance Reduction Niv Giladi, Shahar Gottlieb, Moran Shkolnik, Asaf Karnieli, Ron Banner, Elad Hoffer, Kfir Y. Levy, Daniel Soudry

ECCVW 2022 Power Awareness in Low Precision Neural Networks Nurit Spingarn-Eliezer, Ron Banner, Hilla Ben-Yaacov, Elad Hoffer, Tomer Michaeli

ICLR 2021 Neural Gradients Are Near-Lognormal: Improved Quantized and Sparse Training Brian Chmiel, Liad Ben-Uri, Moran Shkolnik, Elad Hoffer, Ron Banner, Daniel Soudry

ICLR 2020 At Stability's Edge: How to Adjust Hyperparameters to Preserve Minima Selection in Asynchronous Training of Neural Networks? Niv Giladi, Mor Shpigel Nacson, Elad Hoffer, Daniel Soudry

ICLR 2018 Fix Your Classifier: The Marginal Value of Training the Last Weight Layer Elad Hoffer, Itay Hubara, Daniel Soudry

NeurIPS 2018 Norm Matters: Efficient and Accurate Normalization Schemes in Deep Networks Elad Hoffer, Ron Banner, Itay Golan, Daniel Soudry

NeurIPS 2018 Scalable Methods for 8-Bit Training of Neural Networks Ron Banner, Itay Hubara, Elad Hoffer, Daniel Soudry

ICLR 2018 The Implicit Bias of Gradient Descent on Separable Data Daniel Soudry, Elad Hoffer, Mor Shpigel Nacson, Nathan Srebro

JMLR 2018 The Implicit Bias of Gradient Descent on Separable Data Daniel Soudry, Elad Hoffer, Mor Shpigel Nacson, Suriya Gunasekar, Nathan Srebro

ICLR 2017 Semi-Supervised Deep Learning by Metric Embedding Elad Hoffer, Nir Ailon

NeurIPS 2017 Train Longer, Generalize Better: Closing the Generalization Gap in Large Batch Training of Neural Networks Elad Hoffer, Itay Hubara, Daniel Soudry

ICLR 2015 Deep Metric Learning Using Triplet Network Elad Hoffer, Nir Ailon